Senior Data Engineer, Vehicle Telematics

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

General Motors uses telematics data as a cornerstone of its software-defined vehicle strategy, enhancing safety, security, and product development to create an exceptional customer experience. Analytical insights from this data lead to improvements in operational efficiency, maintenance, and vehicle performance as well as address the need for intelligent (ADAS), sustainable transportation (EV). Our analytical datastore team owns the platform that streams and stores this data from millions of vehicles around the globe.

We seek a polyglot engineer with a strong background in data and software, experienced in designing and maintaining large-scale systems. This technical leadership role requires a passion for quality, efficiency, and reliability. As a senior data engineer, you'll be building the platform to enable thousands of use cases that require telematics data. You will play a key role in our team's success, supporting hundreds of internal analytics users and enhancing the experience for millions of retail and fleet customers. This is a high-visibility role!

What You’ll Do

• Develop a scalable data platform to support continuing increases in data volume and complexity
• Develop and maintain data pipelines to ingest, process, and curate large volumes of data using Spark, Kafka, Event Hubs, Azure Data Lake Storage, or similar technologies
• Support the infrastructure required for optimal ingestion, transformation, and storing of data
• Collaborate with data scientists to support the needs of advanced ML development
• Design and implement rigorous data observability, validation, governance, and quality checks
• Mentor and support junior engineers by providing guidance, coaching and educational opportunities
• Simplify, simplify, simplify… and document your work!

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in data engineering including Python or Scala, SQL, and relational/non-relational data storage
• 3+ years of experience in distributed, petabyte-scale data processing using Spark as well as container orchestration technologies like Kubernetes
• Strong with performance tuning strategies such as partitioning, clustering, caching, and various other serialization techniques
• Strong with infrastructure as code (IaC) and CI/CD best practices
• Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)
• Strong background in any of the following: data architecture, data governance, metadata management, data quality, observability, or MLOps
• Knowledge in schema design and data contracts
• Excellent teamwork and leadership skills to collaborate and influence across product, program, and engineering

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master's degree in Computer Science, Software Engineering, or a related field
• Experience in processing and storing various file formats, including video, audio and image
• Experience with tools such as Databricks or Snowflake – this is where the vast majority of our downstream consumers live.

This job may be eligible for relocation benefits.

Compensation: 

• The expected base compensation for this role is: $134,000 - $219,000. Actual base compensation within the identified range will vary based on factors relevant to the position. 
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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